Shihan Dou
Artificial Intelligence · 2023–2025
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 229 citations into it
Whom Shihan Dou trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton (in Artificial Intelligence)
Papers from Shihan Dou's perspective
Ordered by how strongly the researchers Shihan Dou trusts endorse each paper. Same corpus, a different order for every researcher.
- Language Models are Unsupervised Multitask Learners
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Proximal Policy Optimization Algorithms (arXiv.org)
- Training Products of Experts by Minimizing Contrastive Divergence
- Curriculum learning
- Towards Deep Learning Models Resistant to Adversarial Attacks
- Scaling Laws for Neural Language Models (arXiv.org)
- Mastering the game of Go without human knowledge
- Learning to summarize from human feedback
- Multitask Prompted Training Enables Zero-Shot Task Generalization
Their papers
- The Rise and Potential of Large Language Model Based Agents: A Survey (2023) — 1,915 citations
- Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback (2023) — 90 citations
- The rise and potential of large language model based agents: a survey (2025) — 369 citations